Meta's Muse may need 2,000 server trays at reported user scale
Tom's Hardware's estimate combines Meta's Muse's reported 500,000-plus daily active users with 256 sandboxes per hypothetical tray. The figure is napkin math, not a disclosed Meta deployment.
By RuntimeWire Staff · Published
Primary source: Tom's Hardware
Why it matters
The reported CPU and memory allocation offers a concrete, if unconfirmed, basis for estimating the infrastructure behind persistent AI agents. At the user scale reported by Tom's Hardware, the paper calculation reaches roughly 2,000 trays, but Meta has not disclosed per-user VM specifications, server density or fleet capacity.
User tests of Meta's Muse agent found sandboxes with two vCPUs and about 8GB of memory, a configuration that could fit 256 environments on a hypothetical 512-vCPU, 2TB server. Applying that density to Muse's reported user count produces an estimate of roughly 2,000 server trays. Neither the per-user allocation nor the tray count is a Meta-published service specification or fleet figure.
In its September 25th report, Tom's Hardware said Muse had reportedly passed 500,000 daily active users as of a few days earlier, citing a third-party figure. The outlet's estimate works out to about 1,953 trays at 256 users per tray, rounded to roughly 2,000. Tom's Hardware called the calculation rough napkin math: it assumes a particular server configuration and leaves actual hardware choices and overhead out of the count.
Blogger Evan Hoffman and analyst Tae Kim prompted Muse to inspect its environment, according to the report. The agent's responses identified AMD EPYC 9D25 processors, Ubuntu 24.04 and Linux kernel 7.0. The sandboxes appeared to be CPU-only, with separate GPU servers handling inference, Tom's Hardware reported.
A separate hands-on test measured one Muse instance at 7.7GB of RAM and 100GB of persistent storage. That report emphasized that Meta has not published or guaranteed those specifications. Meta's September 8th launch announcement describes Muse as running on a dedicated cloud computer, but gives no per-user CPU or memory allocation.
Meta launched Muse as a personal agent that can continue working after a user closes the app and seek approval before actions such as sending email or making a purchase. The service has a free tier; Stark Insider reported that its paid Power and Maximum plans cost $20 and $100 a month, respectively. The price tiers add context to the infrastructure question, though neither the reported sandbox allocation nor the server estimate reveals Meta's actual cost to run the service.
The new compute reporting adds a different detail from RuntimeWire's September 24th coverage, which examined Muse's skills and access controls: how much CPU and memory a user-observed environment may consume.